-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC1_Pa
> nelB_2.log
  log type:  text
 opened on:  19 Feb 2024, 02:18:52

. foreach var in complier_adh_1{
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp, cluster(uid_cluster) reps(5000) rseed(13915183)
  3. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp $patient_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
  4. }

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30.........40.........50.........60..
>  done (62)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30..... done (35)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30........ done (38)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20...... done (26)

Wild cluster bootstrap                             Number of obs      = 3,041
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  46.8
                                                                  max =   116
-----------------------------------------------------------------------------
          complier_adh_1 |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |    .038871    3.83   0.002    .0158656    .0624226
   final_stratum_id1 = 0 |   .0168918    0.71   0.530   -.1471904    .1703433
   final_stratum_id2 = 0 |   .0098736    0.40   0.751   -.0880461    .1878389
   final_stratum_id3 = 0 |   .0083951    0.43   0.758   -.1226933    .2517565
   final_stratum_id4 = 0 |   -.000944   -0.04   0.937   -.2810681    4.873791
   final_stratum_id5 = 0 |  -.0103641   -0.51   0.740   -.0846225    .0503019
   final_stratum_id6 = 0 |  -.0125666   -0.70   0.591   -.0594943    .0520834
   final_stratum_id7 = 0 |   .1252893    4.50   0.076   -1.496898     .205119
   final_stratum_id8 = 0 |  -.0099742   -0.45   0.746   -.0722413    .0583327
   final_stratum_id9 = 0 |   .0242108    0.78   0.486   -.0769763    .1369875
  final_stratum_id10 = 0 |  -.0196401   -0.82   0.582   -.0996584    .0568282
  final_stratum_id11 = 0 |   .0141653    0.69   0.532    -.035452    .0994557
  final_stratum_id12 = 0 |   .1416687    2.37   0.191   -8.033519    .3417619
  final_stratum_id13 = 0 |   .0958864    1.50   0.216   -.0416806    .2992457
            post_exp = 0 |   .0515501    4.03   0.000    .0252922    .0766503
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30..... done (35)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10........ done (18)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10......... done (19)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30.........40. done (41)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.........40... done (43)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30.........40.........50.. done (52)
  Upper bound: .........10.........20.........30.........40 done (40)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                             Number of obs      = 3,041
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  46.8
                                                                  max =   116
-----------------------------------------------------------------------------
          complier_adh_1 |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0384194    3.99   0.002    .0162419    .0610939
   final_stratum_id1 = 0 |   .0016595    0.08   0.935   -.1457766    .1026214
   final_stratum_id2 = 0 |   .0262304    1.04   0.363   -.0486568    .1033434
   final_stratum_id3 = 0 |    -.00167   -0.10   0.913   -.1212745    .0828102
   final_stratum_id4 = 0 |   .0202626    0.83   0.494   -.1547736    2.009678
   final_stratum_id5 = 0 |  -.0234196   -1.21   0.452   -.0967879    .0316856
   final_stratum_id6 = 0 |  -.0180093   -1.03   0.537   -.0633927    .0342737
   final_stratum_id7 = 0 |   .0982038    4.40   0.023    .0326831    .1607751
   final_stratum_id8 = 0 |  -.0164864   -0.75   0.600     -.07706    .0472956
   final_stratum_id9 = 0 |   .0236906    0.84   0.449   -.0619954    .1237659
  final_stratum_id10 = 0 |  -.0226045   -1.13   0.486   -.0810943       .0381
  final_stratum_id11 = 0 |   .0021289    0.12   0.907    -.046565     .076977
  final_stratum_id12 = 0 |    .151742    2.33   0.156   -.0108488    .3663657
  final_stratum_id13 = 0 |    .084902    1.39   0.273   -.0477963    .2885105
            post_exp = 0 |   .0539262    4.56   0.000    .0293954    .0774885
               _male = 0 |   .0037883    0.34   0.737   -.0188357    .0268133
                _age = 0 |  -.0000802   -0.29   0.756   -.0006453    .0004802
      _caste_general = 0 |   .0237078    1.67   0.110   -.0056056    .0517397
              _hindu = 0 |  -.0241761   -1.47   0.156   -.0582303    .0096971
            _rw_both = 0 |   .0319679    3.62   0.001    .0138746    .0498631
           _ownhouse = 0 |    .006833    0.65   0.514    -.013705    .0270564
           _hhd_size = 0 |  -.0019856   -1.14   0.275   -.0054439    .0014404
     _migrate_always = 0 |  -.0010446   -0.09   0.951   -.0257696    .0226214
      _migrate_6plus = 0 |   .0034723    0.26   0.802   -.0240071     .031338
     _time_to_center = 0 |   .0003699    0.57   0.569   -.0008886    .0017128
           _dum_male = 0 |   .1039468    0.59   0.888   -.2653261     .858936
            _dum_age = 0 |   .4691832    1.72   0.286   -.2001832    1.038473
  _dum_caste_general = 0 |   .0723894    2.59   0.018    .0138121    .1289507
          _dum_hindu = 0 |   .0999144    1.03   0.348   -.1270396    .3264755
        _dum_rw_both = 0 |  -.0711724   -2.87   0.672   -15.33199    14.39663
       _dum_ownhouse = 0 |   .0003031    0.01   0.997    -.059107    .0748349
       _dum_hhd_size = 0 |   .0975833    0.63   0.894   -.1097161    .8486769
 _dum_migrate_always = 0 |   -.084768   -4.10   0.812   -44.68423    13.57091
 _dum_time_to_center = 0 |  -.0309525   -1.96   0.068   -.0631152    .0027058
-----------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC1_Pa
> nelB_2.log
  log type:  text
 closed on:  19 Feb 2024, 02:19:28
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